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Equilibrium dynamics of ice streams: A Bayesian statistical analysis

Journal Article


Abstract


  • Studies of the behaviors of glaciers, ice sheets, and ice streams rely heavily on both observations and physical models. Data acquired via remote sensing provide critical information on geometry and movement of ice over large sections of Antarctica and Greenland. However, uncertainties are present in both the observations and the models. Hence, there is a need for combining these information sources in a fashion that incorporates uncertainty and quantifies its impact on conclusions. We present a hierarchical Bayesian approach to modeling ice-stream velocities incorporating physical models and observations regarding velocity, ice thickness, and surface elevation from the North East Ice Stream in Greenland. The Bayesian model leads to interesting issues in model assessment and computation. © 2007 Springer-Verlag.

Authors


  •   Berliner, L M. (external author)
  •   Cressie, Noel A.
  •   Jezek, Kenneth (external author)
  •   Kim, Yongku (external author)
  •   Lam, Calvin (external author)
  •   Van Der Veen, Cornelis (external author)

Publication Date


  • 2008

Citation


  • Berliner, L. M., Cressie, N. A., Jezek, K., Kim, Y., Lam, C. Q. & van der Veen, C. J. (2008). Equilibrium dynamics of ice streams: A Bayesian statistical analysis. Statistical Methods and Applications, 17 (2), 145-165.

Scopus Eid


  • 2-s2.0-42449124756

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/2343

Number Of Pages


  • 20

Start Page


  • 145

End Page


  • 165

Volume


  • 17

Issue


  • 2

Abstract


  • Studies of the behaviors of glaciers, ice sheets, and ice streams rely heavily on both observations and physical models. Data acquired via remote sensing provide critical information on geometry and movement of ice over large sections of Antarctica and Greenland. However, uncertainties are present in both the observations and the models. Hence, there is a need for combining these information sources in a fashion that incorporates uncertainty and quantifies its impact on conclusions. We present a hierarchical Bayesian approach to modeling ice-stream velocities incorporating physical models and observations regarding velocity, ice thickness, and surface elevation from the North East Ice Stream in Greenland. The Bayesian model leads to interesting issues in model assessment and computation. © 2007 Springer-Verlag.

Authors


  •   Berliner, L M. (external author)
  •   Cressie, Noel A.
  •   Jezek, Kenneth (external author)
  •   Kim, Yongku (external author)
  •   Lam, Calvin (external author)
  •   Van Der Veen, Cornelis (external author)

Publication Date


  • 2008

Citation


  • Berliner, L. M., Cressie, N. A., Jezek, K., Kim, Y., Lam, C. Q. & van der Veen, C. J. (2008). Equilibrium dynamics of ice streams: A Bayesian statistical analysis. Statistical Methods and Applications, 17 (2), 145-165.

Scopus Eid


  • 2-s2.0-42449124756

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/2343

Number Of Pages


  • 20

Start Page


  • 145

End Page


  • 165

Volume


  • 17

Issue


  • 2